AI Security Engineer

Overview

Remote
On Site
$59.50 - $80.50 hourly
Contract - W2
Contract - Temp

Skills

Auditing
Orchestration
Evaluation
Security Controls
RBAC
Data Engineering
Threat Modeling
Workflow
Test Plans
Data Flow
Specification Gathering
Meta-data Management
Use Cases
System On A Chip
Software Engineering
Python
Testing
Google Cloud Platform
Google Cloud
Cloud Computing
Virtual Private Cloud
DevOps
Continuous Delivery
Hardening
Collaboration
DLP
Electrical Wiring
Continuous Integration
SCA
Software Development Methodology
Artificial Intelligence
Messaging

Job Details

RESPONSIBILITIES:
Kforce has a client in Short Hills, NJ that is looking for an AI Security Engineer.

Duties:
* Build secure AI access layers (Python) for internal use and service to service scenarios: request/response inspectors, output redaction, rate limiting, and audit logging. Integrate with sensitivity labels/DLP and identity controls where applicable
* Develop agent safety patterns (for orchestration frameworks) including tool use allow lists, function sandboxing, constrained retrieval, and memory hygiene; create reusable modules for product teams
* Implement and operate evaluation pipelines (red team prompts, jailbreak detection, toxicity/PII checks, hallucination/grounding scores) as part of CI/CD-gating releases on eval thresholds; capture artifacts for 5Rs evidence
* Engineer Google Cloud Platform security controls for AI workloads: VPC SC, private service connect, service account hygiene, Workload Identity Federation, CMEK, Secret Manager, Cloud Build/Artifact Registry policies, Cloud Logging/Monitoring/SCC alerting
* Harden data pipelines feeding models (poisoning/tamper detection, provenance/lineage, RBAC/ABAC, DLP), working with data engineering teams
* Automate controls (policy as code) to enforce least privilege, environment isolation, egress controls, and artifact signing; Integrate with existing SAST/DAST/SCA and threat modeling workflows
* Contribute to Copilot security enablement: configure Purview sensitivity, Copilot DLP, Restricted Access sites, and Conditional Access for AI apps; Validate via test plans
* Ingest architecture diagrams, data flow specs and service metadata to produce LLM assisted Security use-cases (leveraging AI for security)
* Engineer autonomoassisted SOC agents to ingest alerts from Defender XDR/Sentinel and approved third party sources, perform enrichment

REQUIREMENTS:
* Strong software engineering in Python (frameworks, testing, packaging) with experience building secure services/middle tiers and AI agent integrations
* Hands-on Google Cloud expertise (IAM, GKE/Cloud Run, Cloud Build, Artifact Registry, Secret Manager, VPC SC, SCC) and DevOps (IaC, CI/CD, policy as code)
* Practical knowledge of AI threats & mitigations (prompt injection filters, content moderation, output redaction, token level guardrails, secrets hygiene, model endpoint hardening)
* Familiarity with enterprise collaboration controls (Purview labels, DLP for Copilot, restricted access sites) and how to test their efficacy

Nice to have:
* Experience wiring evaluations/red team harnesses into CI (e.g., blocking merges on eval regressions); Exposure to EU AI Act/GDPR implications for logging/telemetry and DPIAs
* Knowledge of SAST/DAST/SCA and dependency governance aligned to our SDLC standards

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Kforce Technology Staffing